Instructions to use Dewa/dog_emotion_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dewa/dog_emotion_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dewa/dog_emotion_v3") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Dewa/dog_emotion_v3") model = AutoModelForImageClassification.from_pretrained("Dewa/dog_emotion_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 916ebfefadc54dbf8a536e34d9965ea790fe90e61b6d3ab1abd5b3520cde904e
- Size of remote file:
- 3.58 kB
- SHA256:
- 5412d5765d24d9a609d76a27dcc1c666ff854b653dacdf6a49f05b24adaa821f
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